John Jumper
Impact in
- Molecular Biology top 0.05%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- Structural Biology top 0.5%
Papers in
-
- Protein Structure and Dynamics 20
- Machine Learning in Bioinformatics 8
- RNA and protein synthesis mechanisms 7
- Glycosylation and Glycoproteins Research 3
- Lipid Membrane Structure and Behavior 2
- Genomics and Phylogenetic Studies 1
-
- Enzyme Structure and Function 14
- Co-authors
- Demis Hassabis (7 shared papers)Pushmeet Kohli (6 shared papers)Andrew Senior (5 shared papers)Michael P. Eastwood (3 shared papers)David Elliot Shaw (3 shared papers)Ron O. Dror (2 shared papers)Yibing Shan (2 shared papers)John K. Salmon (1 shared paper)
- Journals
- Nature (5 papers)Science (4 papers)Biophysical Journal (3 papers)Nature Communications (3 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John Jumper
32 papers receiving 50.7k citations
John Jumper's Hit Papers
Peers
Comparison fields: 5 of 221
- Molecular Biology 31.7k
- Structural Biology 505
- Health Informatics 311
- Computational Theory and Mathematics 3.6k
- Cell Biology 3.3k
Countries citing papers authored by John Jumper
This map shows the geographic impact of John Jumper's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Jumper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Jumper more than expected).
Fields of papers citing papers by John Jumper
This network shows the impact of papers produced by John Jumper. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Jumper. The network helps show where John Jumper may publish in the future.
Co-authors
The 25 scholars most cited alongside John Jumper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Highly accurate protein structure prediction with AlphaFold Hit paper breakdown → | 2021 | 28336 |
| 2 | Accurate structure prediction of biomolecular interactions with AlphaFold 3 Hit paper breakdown → | 2024 | 7362 |
| 3 | AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models Hit paper breakdown → | 2021 | 5380 |
| 4 | Improved protein structure prediction using potentials from deep learning Hit paper breakdown → | 2020 | 2355 |
| 5 | Highly accurate protein structure prediction for the human proteome Hit paper breakdown → | 2021 | 2128 |
| 6 | Atomic-Level Characterization of the Structural Dynamics of Proteins Hit paper breakdown → | 2010 | 1552 |
| 7 | AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences Hit paper breakdown → | 2023 | 1066 |
| 8 | Accurate proteome-wide missense variant effect prediction with AlphaMissense Hit paper breakdown → | 2023 | 1016 |
| 9 | Effective gene expression prediction from sequence by integrating long-range interactions Hit paper breakdown → | 2021 | 626 |
| 10 | Applying and improving AlphaFold at CASP14 Hit paper breakdown → | 2021 | 308 |
| 11 | 2012 | 298 | |
| 12 | 2019 | 238 | |
| 13 | 2022 | 184 | |
| 14 | 2017 | 178 | |
| 15 | Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3 Hit paper breakdown → | 2024 | 147 |
| 16 | 2014 | 104 | |
| 17 | 2015 | 41 | |
| 18 | 2018 | 30 | |
| 19 | 2018 | 30 | |
| 20 | 2022 | 30 |
About John Jumper
John Jumper is a scholar working on Molecular Biology, Materials Chemistry, Endocrinology, Cell Biology and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 51.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (14 papers), Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (7 papers), Glycosylation and Glycoproteins Research (3 papers), Force Microscopy Techniques and Applications (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Molecular Biology (31.7k citations), Structural Biology (505 citations), Health Informatics (311 citations), Computational Theory and Mathematics (3.6k citations) and Cell Biology (3.3k citations). John Jumper has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Demis Hassabis, Pushmeet Kohli, Andrew Senior, Michael P. Eastwood, David Elliot Shaw, Ron O. Dror, Yibing Shan, John K. Salmon, Willy R. Wriggers and Kresten Lindorff‐Larsen. Their work appears in journals such as Nature, Science, Biophysical Journal, Nature Communications and Nucleic Acids Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.